The close combination of internet technology and traditional industrial control system (ICS) is a double-edged sword, which not only improves the accuracy of the control system, but also brings great danger. According to the statistics of the authoritative industrial security incident information database, Repository of Industrial Security Incidents (RISI), as of October 2011, there have been more than 200 attacks on industrial control systems around the world. It is obviously a multi-attribute decision-making (MADM) problem to select the appropriate industrial control system security supplier (ICSSS) for ensuring the safety of ICS. In this paper, the traditional TODIM method is improved and reconstructed in the probabilistic linguistic environment by incorporating the prospect theory (PT) which has received close attention recently. In this new model, the entropy weight method is used to obtain the attribute weight under complete information. And based on the ideas of PT as well as traditional TODIM method, the distortion of decision results caused by the risk attitude and psychological state of decision makers is corrected as far as possible. In my opinion, probabilistic linguistic term set (PLTS) ensures that the model can better cope with the real environment and the complexity and ambiguity of decision makers’ thinking. Finally, the successful application of this new probabilistic linguistic TODIM method based on PT (PT-PL-TODIM method) in the selection of ICSSS proves that the model is practical and is also of great value to the decision-making research related to ICS. Moreover, the comparative analysis between the proposed model and the existing model effectively confirms the reliability of the proposed method. In the future, it is hoped that this method can be successfully applied to more decision-making fields.

互联网技术与传统工业控制系统（ICS）的紧密结合是一把双刃剑，不仅提高了控制系统的精度，也带来了极大的危险。根据权威的工业安全事件信息数据库——工业安全事件库（RISI）的统计，截至2011年10月，全球已经发生了200多起针对工业控制系统的攻击。选择合适的工控系统安全供应商（ICSSS）显然是一个多属性决策（MADM）问题，以确保ICS的安全。本文结合近来备受关注的前景理论（PT），在概率语言环境中对传统的TODIM方法进行了改进和重构。在这个新模型中，利用熵权法获得完全信息下的属性权重。并基于PT的思想以及传统的TODIM方法，尽可能地纠正决策者的风险态度和心理状态导致的决策结果失真。在我看来，概率语言术语集（PLTS）确保模型能够更好地应对现实环境以及决策者思维的复杂性和模糊性。最后，这种基于PT的新概率语言TODIM方法（PT-PL-TODIM方法）在ICSSS选择中的成功应用证明了该模型的实用性，对ICS相关的决策研究也具有重要价值。而且，所提模型与现有模型的对比分析有效地证实了所提方法的可靠性。未来，希望该方法能够成功应用到更多的决策领域。